Baxter Eaves
Probabilistic ML Researcher at Redpoll
Greater St. Louis United States
Summary
👤
Senior🎓
Top SchoolBaxter Eaves is a Probabilistic ML researcher with 13 years of experience building psychologically valid AI that mimics, predicts, and improves human performance across high-stakes domains. He leads humanistic AI efforts at Redpoll, applying Bayesian nonparametrics to make complex, dynamic data transparent, safe, and interoperable with human decision-makers. His background spans industry and academia—from developing a domain-specific probabilistic programming language and QA frameworks at CiBO to novel population-genetics methods at Monsanto and probabilistic systems at MIT. Trained as a computational cognitive scientist (PhD) and a former Navy petty officer, he combines rigorous probabilistic modeling with operational discipline and a knack for mentoring teams. Notably, he focuses on practical speedups and robustness—shipping probabilistic tools that outperform deep learning baselines while running faster per datum.
12 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Psychology, Bachelor's Degree, Psychology at University of Louisville
Github Skills (50)
database-table10
bayesian10
querying10
intel9
random-generation9
prng9
databases9
sql9
database9
data-structures9
sqlite8
rust8
co-simulation8
helper-methods8
matrix8
Programming languages (4)
Github contributions (5)
BaxterEaves/ids_teach
Jan 2015 - Aug 2016
Contributions:80 commits, 4 pushes in 1 year 6 months
BaxterEaves/baxcat_cxx
Aug 2016 - Nov 2017
Contributions:8 PRs, 96 pushes, 4 branches in 1 year 3 months
cppc-plus-plus
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.